Start

A wild obstacle appears

Cleanup

  • Excel for initial exploration and some metadata
  • Data cleaning using R

How to navigate?

Land Ahoy!

  • Something interesting related to waiting time?
  • Case severity?
  • Regions?
  • Sex!

No acute, only lateral + primary operation

#

What does this mean?

  • If two groups of each 100 men and women have a primary lateral inguinal hernia
  • After 100 days, 53 women and 46 men waiting, 7 more women
  • After 150 days, 35 women and 26 men waiting, 9 more women
  • After 200 days, 20 women and 15 men waiting, 5 more women

A lot to explore…

  • Coxph model shows ~18% higher hazard rate for men (95% CI 13% - 28%, age adjusted)
  • Proportional hazards ok in base case
  • Explorative, not properly looked at biases/causal pathway
  • -> Be careful to draw conclusions!

Conclusions to bring home?

  • Does it really matter?

Thanks & Resources

  • Course coordinater, administrator and all lecturers
  • Henrik Holmberg
  • R, RStudio, and contributors

Sail away

Copyright info:

Results II

Summary statistics vaentetid
N Median Mean
Kvinna 1012 106 129.2698
Man 13114 91 112.4308

Results III

Dependent variable:
vantetid
SEXMan 0.186***
(0.033)
age -0.003***
(0.001)
Observations 14,126
R2 0.004
Max. Possible R2 1.000
Log Likelihood -120,837.700
Wald Test 52.370*** (df = 2)
LR Test 53.751*** (df = 2)
Score (Logrank) Test 52.438*** (df = 2)
Note: p<0.1; p<0.05; p<0.01
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